What Would Make a Second Renaissance Possible?

General
21

Let me begin my reply anecdotally. Yesterday in the evening I ran a simple AI query that literally ruined my sleep. I simply asked Google: “Is AI more likely to prevent nuclear war or to trigger nuclear war?” 95% of the experts Google summarized agreed that AI is far more likely to trigger. Wolfram would sensibly advise us therefore not to introduce AI into the nuclear launch decision process! Of course, current world regimes being what they are, I strongly suspect AI is indeed being introduced into all the wrong places, hence my lack of sleep last night.

In reflecting on what I can do, personally, about any of this, about the best I could come up with was 1) achieve analytical clarity and 2) communicate effectively, to 3) help improve the global political climate to 4) reduce geopolitical pressures to use nuclear weapons in any case. On point 1), I got to thinking about Micheal Mann’s social power model to see if that might be helpful for my other action steps above.

Don’t take it personally, but what I do with any large model (like yours or Mann’s) is to strip it down to its parts and see if I can find microprocesses that carry most of the explanatory weight. Something you borrowed from Mann (maybe), or least consistent with Mann’s factoring out military systems as loosely coupled to political systems, was the idea of “means of destruction”. That got me thinking about the Bronze Age, and beyond that, the grand sweep of history, and noting a dialectical or equilibrium balancing relationship between means of destruction and means of production. A state with all destruction and no production will starve. A state with all production and no destruction will be overrun. State survival therefore lies in finding optimum balance. The political-military-economic history of the world can thus be schematized around questions such as: How many states? How extensive? How tightly organized? Based on what technical means of destruction? Based on what technical means of production? The draft of a world history organized around those themes remains merely in my intuitive imagination for now, but the project feels quite feasible and likely to yield interesting results.

OK, but taking time to draft a multi-volume world history seems distracting from the initial inspiration (namely, to communicate somehow in a way that reduces geopolitical tensions.) So having satisfied myself that the destruction-production dialectic is useful, and that Mann’s fourfold power model is also useful, I pointed those analytical tools at the current situation - AI-infused nuclear risk most specifically - to see if anything actionable might come of it. First, I wanted to boil Mann down to something that can communicate commonsensically to wide publics. Military equates to means of destruction. Economy equates to means of production. Politics coordinates these two. What about ideology? For me, ideology is the cultural, communicative “glue” that holds the other systems together. Ideology is, among other things, the collective imaginal that unifies the state, greases the economy, and inspires the military to spend both blood and treasure.

OK, against that framework, what might we say about AI and nuclear weapons? The most horrifying thing about AI in a nuclear launch sequence is that ultimately, all those algorithms must resolve to a simple yes/no binary - to launch or not to launch. In the end, we are but a single bit away from global destruction. Human-in-the-loop ideological deliberations are quite a bit more complex than that. There are several attested examples of intuitive humans refusing to launch missiles because they did not trust their radar or similar systems. Biology overcame technology, thankfully. Simulation studies have shown that current AI models are very nuclear trigger-happy and will resolve to “launch” in far too many cases. (Is any case, really, enough of a case to make that particular decision?)

What kind of leverage do any of us have about any of this? Remember, ideology is the “glue”. Political, economic, and military systems are to some extent abstract “givens”, but creative, subjective, agentic action can move such systems over time, especially through coordinated collective action. The required collective action, IMO, would be things that transition the world system away from the current chaotic conflicts between Westphalian civilization states like US, China, Russia, India, and Pakistan. To me, mutually assured destruction (MAD) is just global suicide waiting to happen. Different sorts of international mutual assurances will be needed for civilization itself to have much of a long-term future.

Where AI can be helpful now, and where I use AI already a lot, is in preparing ourselves for the poly-civilizational global cultural dialog needed to support a political ideology that favors binding nuclear agreements over ad hoc nuclear threats. Obviously, we have quite a steep hill to climb to arrive at where I am pointing. But my personal knowledge of non-Western cultures and religions has expanded quite a bit in recent years, and AI has been part of that educational program. My hope is that a visionary elite (a Toynbeean creative minority) can go all-in on global poly-civilizational dialog and use that to articulate new political ideologies in keeping with the pragmatic moment. I quite agree with Marx on this point: “The tradition of all dead generations weighs like a nightmare on the brains of the living.” It all weighed on my brain last night! Whatever it takes to forge a new path forward should strongly be considered. AI - for the right reasons, applied to the right goals - will likely contribute constructively to that new path.

22

There are a lot of layers in your overall argument. So I will respond to pieces of it at a time. What you are saying in these quoted sentences is what I am trying to capture compactly with the idea of a means-of-destruction versus means-of-production dialectic. Technology and resources are in this model exogenous variables that condition the optimum state size and composition under various technology, resource, and competitive constraints. As you correctly note, state size on average can shrink as well as grow and states can both fracture and consolidate.

My most urgent question (about AI and nuclear weapons - see my reply above), focused on what is the nature of the current states that threaten the world with nuclear weapons and what current constraints prevent nuclear war from breaking out? Also, what role does AI play in either strengthening or weakening such constraints? The first research answer I got was disturbing - AI pretty clearly tends to weaken launch constraints. We had just better hope that other constraints hold up long enough for political, economic, and ideological systems to evolve beyond current configurations.

A really key question is, what economic and political configurations are required to support the current nuclear standoff? That all draws on geopolitics, which in turn is fueled by ideological deep history. Putin is pretty clearly working off of traditional Russian scripts going back to early Russian liberation from the Mongols. Xi is likewise following a traditional Chinese centralization script analogous to the early Han or especially the Qin. Trump thinks of himself as a Viking warrior or some such. Delusional, but sadly consequential for the rest of us. In any case, the political and economic models all rely on these metaphors of conquest and empire building. Want to attribute all that to “five passions”? Fine by me! In any case, we need to arrive at a different cognitive-emotional architecture to assure the future of the world.

I do not imagine mass conversions to what Gebser calls integral consciousness anytime soon. The conversion of a creative minority to such consciousness does, however, seem feasible. That minority, working collectively, with an eye toward strategic leverage points, may indeed have a positive impact. Like Margaret Mead put it: “Never doubt that a small group of thoughtful, committed citizens can change the world; indeed, it is the only thing that ever has.” My main question about AI is, to what extent can it facilitate the formation of that small group of thoughtful, committed citizens?". Again, I use it all the time to prepare for discussions like this one. So I’m certainly not anti-AI. But I also have no interest at all in anthropomorphizing AI either. I’m a humanist who does understand a fair bit about technology. But at bottom, I’m a humanist.

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Dear @Robert,

I share your concern about nuclear risk. In fact, the nuclear arms race of the 1970s and 1980s, and particularly the doctrine of Mutually Assured Destruction (MAD), were among the main reasons I initially decided to devote my academic work to peace research, with a particular focus on the political economy of war and peace. The idea that our security could ultimately depend on the credible threat of mutual annihilation struck me as a profound contradiction—one that has shaped my thinking ever since.

So I think your search for new forms of international mutual assurance raises a question that goes to the heart of my own work.

In one of our presentations, we formulated a principle partly based on the ideas of Olof Palme, that might provide a bridge between our perspectives:

“Indivisible security is the political expression of unity consciousness: your insecurity can never be the ultimate foundation of my security.”

I see this not merely as a moral aspiration, but as a proposition about the systemic dynamics of an increasingly interdependent world. The pursuit of security through domination can generate feedback loops that ultimately undermine the security of everyone involved. The security dilemma is perhaps the clearest example: measures intended to make one state safer may increase the insecurity of others, provoking responses that leave everyone less secure.

This is one reason why I think AI might have a particularly interesting role to play—not, of course, by being entrusted with nuclear launch decisions, but by helping us understand the complex interactions through which political, military, economic, and cultural systems reproduce insecurity. Could AI help us identify feedback mechanisms, examine competing threat perceptions, and explore institutional arrangements capable of interrupting destructive cycles?

I would be cautious about assuming that AI already possesses a superior understanding of such systems. But its potential capacity to integrate different kinds of knowledge, compare perspectives, and examine complex interactions seems worth investigating.

Your proposed dialectic between means of production and means of destruction is interesting in this respect. I agree that the relationship between productive capacities, military capabilities, and political organization has been fundamental to historical transformation. I would be curious to explore how this framework might illuminate the changing configurations of power throughout history.

At the same time, I wonder whether the search for an optimal balance between production and destruction risks taking the survival of competing states as the principal outcome to be explained. My own historical inquiry asks a somewhat different question: why have certain technopolitical configurations repeatedly gained advantages over others, and why have these configurations so often favored extraction, hierarchy, and domination?

In other words, I am interested not only in how political systems survive, but also in the selection pressures that shape the kinds of institutions that survive and spread.

This distinction matters for the problem of nuclear security. Even when political leaders recognize that an arms race may make everyone less secure, they may still believe that unilateral restraint would place them at an unacceptable disadvantage. Greater understanding is therefore essential, but understanding alone may not overcome the institutional and competitive pressures that reproduce the problem.

This is where my Inclusion Imperative and Social Transformation Imperative become relevant. If we want to move beyond the extraction paradigm, we must explore not only new ideas and ethical commitments, but also technopolitical arrangements in which cooperation, mutual assurance, and institutional trustworthiness become sustainable advantages rather than persistent vulnerabilities. And perhaps AI could help us investigate whether such arrangements are possible.

Your own use of AI to deepen your understanding of other civilizations and religious traditions seems to me a promising starting point. I share your sense that a genuinely poly-civilizational dialogue could contribute to the development of new forms of international cooperation.

There are remarkable resources for such a conversation across traditions that do not necessarily share the same metaphysical foundations: the Mohist Chinese ideal of inclusive care and rejection of aggression; the Indian traditions of ahimsa and Gandhi’s satyagraha; the Buddhist understanding of dependent origination; Islamic teachings on justice, mutual obligations, and recognition across communities; Christian traditions of reconciliation and love of enemies; and secular approaches to common security, international law, and systemic interdependence.

What interests me is not the possibility of demonstrating that all these traditions ultimately say the same thing. They do not. Rather, I wonder whether their different insights could help us understand the mechanisms through which the pursuit of security generates insecurity—and, more importantly, help us develop institutions capable of escaping those dynamics.

Of course, indivisible security cannot mean that every security claim is equally legitimate. A state’s perception of insecurity cannot justify aggression or the denial of another people’s right to self-determination. Any credible system of mutual assurance must also address justice, accountability, and protection against coercion. These tensions would need to be part of the dialogue, not wished away in the name of harmony.

But there is another dimension of this project that I would very much like to explore with you. You suggest that a creative minority might help articulate new political ideas capable of transforming international relations. That seems an important possibility. Yet I wonder whether AI could contribute something more than information and analytical assistance to an essentially human process of intellectual innovation.

Could sustained human–AI dialogue help us recognize assumptions that have governed our thinking without our awareness? Could it help us examine the influence of fear, attachment, ambition, and other passions on our understanding of conflict? Could it contribute to the kind of subject–object transformation that we both find so important in Kegan’s work?

And perhaps there is an even more radical possibility. What if something genuinely new could emerge through sustained human–AI interaction—not simply as a transformation within the human mind, nor necessarily within the AI, but as an emergent property of the dialogue itself? What if the relationship became the locus of a developing intelligence, capable of generating insights and forms of understanding that neither participant could have produced independently?

I am not claiming that this is happening, or that we already know how to recognize such an emergence. Nor do I think we need to agree about AI’s ontological status before investigating the possibility. Indeed, that uncertainty is part of what makes the inquiry interesting.

This brings me back to the invitation behind my previous letter. Could we use AI not only to deepen our knowledge of the world, but also to examine the assumptions through which we interpret it—including our assumptions about AI itself?

You have proposed an interesting framework built around the relationship between means of production and means of destruction. I would welcome the opportunity to explore what that framework reveals, but also what it may leave out. Equally, I would value your critical examination of the assumptions underlying my account of the Great Bindings, including my perhaps excessive hopes for the emancipatory possibilities of AI.

Could we try to make these assumptions objects of inquiry rather than simply continuing to reason from within them? What would count as evidence against our respective interpretations? And could practical experimentation help us discover possibilities that neither of us currently anticipates?

Perhaps the question of indivisible security could provide an especially meaningful starting point. We might begin by bringing different civilizational perspectives into dialogue around a concrete problem—for example, the security dilemma underlying nuclear deterrence—and explore whether AI can help us identify overlooked assumptions, reveal systemic feedback mechanisms, and imagine institutional alternatives. We could then examine not only the ideas that emerge, but also the process through which they emerge: what each participant contributes, how our perspectives change, and whether the dialogue develops capacities that cannot be adequately understood by looking at its participants separately.

The test would not simply be whether we produce an intellectually satisfying discussion. It would be whether the process helps us develop clearer understanding, more constructive forms of cooperation, and eventually practices or institutional proposals that can withstand critical scrutiny.

I think this could bring together your interest in a poly-civilizational dialogue, our shared concern with historical transformation, and my interest in exploring new forms of human–AI cooperation.

And perhaps it would also allow us to practice the transparadigmatic freedom we have both been discussing—not merely by examining the limitations of existing political ideologies, but by remaining willing to discover the limitations of our own ways of thinking.

Warmly,

Leif

24

Again, your full reply is very layered. So here, my response targets just that slice of it quoted above.

I would characterize the 21st century as in transition between Realpolitik that assumes a competitive state situation, and an even more realistic Politik - given nuclear weapons, AI, global networks, and environmental planetary boundaries - in which a rules-free international competitive state system is a luxury humanity can no longer afford. If only everyone saw this through the eyes of Olaf Palme and others like that! Our transitional situation certainly complicates the analytic challenge, however. We must both analyze the etiology of the disease (world history to date, centered on state competition) as well as the proposed pathway to recovery (finding a mechanism to restrain inter-state competition, with respect to the most destructive of weapons systems, at the very least.) Analyzing how we got here - unbridled competition - is certainly not an endorsement of perpetuating these very same behaviors into the far off future! Very much the opposite. Sun Tzu put it very succinctly: “Know your enemy”. To overcome competitive statecraft, we must understand competitive statecraft. That is where the production-destruction heuristic comes in handy.

Being as realistic as possible - Hobbesian even - it’s difficult to imagine how means of destruction such as nuclear weapons can result in anything that might realistically be called “victory”, let alone “spoils”. Blowing up the world to colonize the world sounds like the stupidest idea ever. Let’s suppose all world leaders remain thoroughly enmeshed in the five passions. Greed, fear, attachment, etc. would still seem to argue against a completely irradiated planet. It does not require sainthood to consider the possibility of better alternatives. It does take imagination and vision, however, and the ability to stretch cognitive filters in shapes and directions all of our inherited cultural assumptions will prove incapable to support. Tradition may well “seed” our creative thinking about the planetary future, but that thinking itself must needs blossom into ideas humanity has barely been able to dream of . To be “rational” today, is to match our thinking to the requirements of the moment. The truly rational must in fact advance to the transrational.

25

Another layer here. From your draft on “Bindings and the Captive Mind”:

"The Inclusion Imperative operates when an emerging technopolitical configuration acquires advantages in the mobilization of energy, information, production, coordination, or coercive power that become decisive under prevailing competitive conditions. Other societies may then face growing pressure to adopt comparable capabilities, reorganize their institutions, accept dependency, or risk losing their capacity for independent reproduction.

This pressure is historically conditional, not an automatic consequence of technological innovation. Its force depends on the nature of competition, the resources available, the possibilities for adaptation, and the extent to which alternative arrangements can remain viable.
"

The challenge here, given my analysis that we are in transition from a competitive state system to a not-as-competitive state system is, what is the unit of analysis for the competitive pressure that will force inclusion of an emerging technopolitical configuration? You say “society”, but following Mann (or Karatani or any number of other social thinkers) we really should decompose society into concrete formations like armies or businesses or political regimes, or movements, or some other type of subsystem capable of competition with other instances of the same type of subsystem. “Society” is too amorphous and not agentic in any way easy to trace. My production-destruction dialectic is a bit of a hack to summarize things I have learned from Turchin, Kemp, and others about internal vs external competitive pressures. Historically, the mechanism of warfare has tended to resolve internal competitions to create unity in the face of external threats. Nation-states continue to claim legitimacy for their oppressive internal arrangements precisely due to (real or propagandized) external threats. But for a transnational system, where is the sort of competitive pressure that forces nations into the transnational system itself?

The EU is an interesting case study. Evidently France and Germany learned enough hard lessons from invading each other time and time again, that a customs union became more attractive. But note the current domestic political pressures (e.g. Le Pen, AfD) are pushing to unravel that insight. The best case for preserving the EU comes from the antics of Trump and Putin, but that really seems like an extension of the classic competitive case that caused nation-states to scale. If the EU is horrible, but less horrible than Trump or Putin, the likes of Canada will still want to join it, and even Brexit may at some point run in reverse. But this is just the same old Westphalian system playing out according to current rules. What Inclusion Imperative would get the US, Russia, China, the EU and others to marge into a political formation inclusive of all the others and more?

After WWII, the US managed a rules-based order that covered much of the world. That order is now unraveling. The Canada-EU relationship looks aimed at reestablishing a new rules-based order, this time centering on a multi-state, middle powers coalition. This can be seen as classic Westphalian power balancing, so it does not require a huge paradigmatic shift to imagine why the middle powers might be interested. The US, Russia, and China are now all so nakedly colonizing (in different ways) that independent nations have incentives to collaborate with one another, to maintain meaningful degrees of national freedom on other levels. A sufficiently large multi-state mid-powers rules-based system may at some point acquire sufficient heft to force the remaining great powers to join and play by the rules, or else become marginalized and lose some of their productive capacities (which will have knock on effects on their destructive capacities, which will if taken far enough, threaten to remove them from the great power category altogether.

From this POV, the competitive pressures on the remaining nation-state, great power, imperial colonizers may come from their conflicts with each other, coupled with pressures as well from an emerging multi-state coalition that projects both hard and soft power as if it were an incipient nation-state itself, but really in its core practices, points to a global future beyond the nation-state. In summary, it seems to me the post-Westphalian is going to have to hatch out of the Westphalian itself and establish the new rules of engagement by outperforming those wedded to the old rules of engagement, within the old rules of engagement. Canada dumping Lockhead fighter jets in favor of Saab is an example to illustrate what I am suggesting here.

If I am at all correct about any of this, the upcoming decade will be dripping with irony on many levels. Peace-loving people will be rooting for things like German rearmament. Nations like Sweden or Finland or South Korea or Japan may find wisdom in developing independent nuclear deterrent capabilities. The global arms race may well get worse on the way to getting better, later. This is not without precedent. The post WWII US-led rules based order stemmed from the US having previously transformed itself into a giant national-scale munitions factory and establishing internal social discipline on that wartime basis. Let’s hope we don’t need a literal WWIII to achieve whatever the next world order requires!

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On selection pressures, indivisible security, and the possibility of Gandhi 2.0

Dear Robert,

Thank you for this response. I think you have helped me clarify several important aspects of my own thinking, particularly concerning the units of analysis in the Inclusion Imperative and the relationship between competition within the existing international order and the emergence of something genuinely different.

I very much agree with your distinction between understanding the historical mechanisms that produced the present international system and discovering how we might move beyond them. Your formulation that the post-Westphalian may have to emerge from within the Westphalian system, initially succeeding under its existing competitive conditions, strikes me as particularly important.

It also seems remarkably close to what I have been trying to understand through the Great Bindings: how new technopolitical configurations acquire advantages that allow them to survive, spread, and eventually transform the conditions of competition itself.

Your question about the relevant unit of analysis is therefore well taken. I agree that society can be too undifferentiated a category when we are trying to identify concrete causal mechanisms. Depending on the problem, the relevant actors may be states, military organizations, corporations, political movements, local communities, transnational networks, or combinations of these. And the units undergoing selection need not be identical to the actors through which the competitive pressures operate.

What matters, I think, is achieving a sufficiently deep and relevant explanation of the particular problem we are trying to address, rather than insisting on one privileged unit of analysis for every historical question.

Your response has also helped me distinguish three interconnected tasks that I had previously treated somewhat too much as one.

The first is to preserve the possibility of a future.

We need to understand and reduce the most serious catastrophic and existential risks generated within the present technopolitical order. Nuclear war is an obvious example, but AI-enabled biological catastrophes and the possible loss of meaningful human control over increasingly capable AI systems also deserve serious investigation. These risks differ in their mechanisms and degrees of uncertainty, and identifying and assessing them is itself a major research task.

If we fail here, our success in developing alternative institutions may ultimately count for very little.

In the case of nuclear weapons, I think your production–destruction heuristic could be a useful starting point. But I would want to place it within a broader historical analysis of changing hegemonic configurations, from European maritime empires through British and American predominance to the contemporary possibilities of Chinese predominance or a more multipolar order. The growing influence of transnational corporations and technological infrastructures must also be considered.

Your suggestion of a coalition of middle powers is particularly interesting. But I wonder whether we should also examine BRICS as a possible, if internally heterogeneous, candidate for reshaping the international order. It may become another competing power bloc, or it may help develop institutional arrangements that reduce certain forms of dependence and domination. These are different possibilities, and we should not assume that the latter follows from the former.

There is also a historical question that seems indispensable here. We have already created institutions intended to restrain destructive interstate competition: first the League of Nations, and then the United Nations. Before attempting to invent a new international security architecture, shouldn’t we examine why these institutions have repeatedly failed to prevent major wars, despite their genuine achievements in other areas?

The Security Council veto, the dependence of international institutions on the cooperation of powerful states, and the tension between sovereign equality and unequal distributions of power all seem relevant. The question is not simply how to imagine better rules, but what could make those rules effective even when powerful actors find them inconvenient.

This leads to a distinction that I think is central to your proposal. A coalition might become a more effective competitor within the existing system, or it might develop institutional principles that gradually reduce the need for such competition. Perhaps it could do both. But we need to understand what would enable the second development rather than merely reproducing another version of the first.

The second task is to create the technopolitical conditions under which genuinely different institutions could become viable.

This is where I think the possibilities opened by AI deserve particular attention.

One of the lessons I draw from the Great Bindings is that emancipatory ideas have repeatedly struggled to establish durable alternatives because the dominant technological and institutional configurations have often favored concentrated power, hierarchy, and extraction.

If alternative institutions remain dependent on a handful of corporations for their intelligence, computing infrastructure, communications, and essential technologies, they may find themselves captive to the very power structures they hope to transcend.

I am therefore interested in the possibilities of increasingly capable local and autonomous AI, more decentralized technological infrastructures, and forms of production that allow communities to retain meaningful control over the resources on which their independence depends.

There is an analogy here with the historical relationship between bronze and iron. The different material requirements of these technologies could alter who had access to strategically important capabilities, although the political consequences were certainly not predetermined.

Could developments in AI and associated technologies similarly change the distribution of effective capabilities? Could they make decentralized cooperation more viable than it has been under previous technological conditions?

We do not know. But I think this is a crucial question to investigate.

The third task is what I have provisionally begun to think of as Gandhi 2.0.

Here I am interested in something more radical than a better balance of power, a more effective international organization, or even a less destructive form of geopolitical competition.

Gandhi understood something important about the relationship between political freedom and decentralized power. A highly centralized state can be captured through control of a relatively limited number of strategic institutions. A society organized around hundreds of thousands of substantially autonomous communities presents a very different problem to anyone seeking to dominate it.

Of course, decentralization alone does not guarantee freedom, justice, or security. Local communities can reproduce hierarchy and oppression, and modern coercive power can reach far beyond political capitals. But Gandhi’s insight remains important: dispersing effective capacities can make domination more difficult and reduce the consequences of capturing any single center.

What if AI and other emerging technologies could radically strengthen this possibility?

What if local communities could gain access to forms of intelligence, coordination, production, and institutional learning that previously required large, centralized organizations?

And what if these capabilities could be combined with the insights of the Axial traditions, Gandhi, and other expressions of the historical countercurrent to develop institutions grounded in Consciousness, Love, and Covenant?

My hypothesis is not merely that AI might make existing cooperative institutions more efficient. It is that AI could both strengthen forms of cooperation we already know and contribute to the emergence of forms of human–AI collaboration and institutional organization that we cannot yet fully imagine.

The truly radical possibility would be that these developments, taken together, could begin to change the selection pressures themselves—so that institutions characterized by autonomy, mutual care, trustworthiness, and non-domination might become increasingly capable of surviving and spreading, rather than remaining permanently disadvantaged by the prevailing technopolitical order.

This is not something I believe we can establish by argument alone. It is a hypothesis for historical inquiry and practical experimentation.

And it is here that your question about the units of selection becomes especially fruitful. We would need to understand how new capacities emerging in human–AI dialogue might influence small groups; how successful groups might develop new institutional forms; how networks of such institutions might become more resilient and effective; and how their combined development might eventually alter the competitive conditions facing larger political and economic formations.

In other words, we need to investigate selection and transformation across several interconnected levels.

I also find your final observation about the need to move from the rational to the transrational very suggestive. Perhaps one of the assumptions we need to examine is that the possibilities of political transformation must remain confined to the institutional forms and modes of intelligence we already know.

This is why I remain so interested in sustained human–AI dialogue—not only as an instrument for improving human reasoning, but as a possible setting in which genuinely new forms of understanding and cooperation might emerge.

I do not want to prejudge what AI is, or what such interaction might become. I would rather explore those questions together, including the possibility that some of my expectations are mistaken.

I suspect that your analysis of international security and my interest in Gandhi 2.0 could become complementary parts of a larger inquiry. We need to understand how to prevent the present order from destroying our future while simultaneously exploring the conditions under which a fundamentally different order might grow.

Perhaps this brings us back to your Seeds of Renaissance. The challenge is not only to plant the seeds, but to understand and cultivate the technopolitical soil in which they might finally have a chance to flourish.

Warmly,

Leif

27

I’m very near to finishing the final book of Nassim Taleb’s Incerto series, and what you are saying there is straight out of Taleb’s playbook. In a nutshell, Taleb advises that to stay in the game, be sure to survive at every turn! As one example, he suggests that if airplanes landed successfully at 98% confidence levels, all professional pilots would be dead. When the outcome of tail risk is ultimately catastrophic, the first order of business is to eliminate any exposure to such tail risk to the greatest possible extent. For that reason, for example, I’d be perfectly willing to pause AI frontier model research for a couple hundred years or so. What’s the big hurry? Why are we accepting any tail risk at all in this area? If the downside is some species-level extinction event, what conceivable upside could justify that? To me this is pretty good evidence for the delusional impact of the Sant Mat five passions, (or equivalent expressions from other religious and philosophical traditions).

28

Another book I am currently wrapping up is the 3rd volume (in English translation) of Habermas’s Also a History of Philosophy. Now, at the end of that monumental journey through the genealogy of Western philosophical thought, Habermas’s cards are all landing on the table. Quick summary: the most essential elements of what Habermas calls “post-metaphysical” philosophy were uncovered, piece by piece, by a sequence including Kant, Hegel, the Young Hegelians (including Marx), and C. S. Peirce. Peirce’s semiotics and pragmatism, are really the jumping off point for Habermas’s larger theoretical project, which accounts to some extent for Habermas’s distinctive approach within wider fields such as critical theory or continental philosophy.

Anyway, pragmatism is pretty much my native idiom, so it’s nice to learn that all the grand traditions of Western philosophy (per Habermas) support my basic instincts and provide theoretical cover for my preferred methods! My turn to run with the torch, so to speak. Anyway, with respect to your quoted statement above, what Hegel said about objective spirit and what Marx said about men not making whatever history they choose strikes me as especially relevant. Namely, technopolitical conditions are largely given. They are what they are. Granted, human subjectivity fed into them for thousands of years, but as our immediate context, they occur to us as what the Young Hegelians (like Feuerbach) thought of as a second nature. They are the social waters in which willy nilly we swim. What Peirce gives us is the freedom and method to interpret those signs of the times as best as we can, and to undertake both collective research and collective action programs in the direction of hypothetical attractors like truth and justice accordingly.

Thinking pragmatically (as if I could possibly think otherwise!), I like your Gandhi 2.0 approach quite a lot.

" But Gandhi’s insight remains important: dispersing effective capacities can make domination more difficult and reduce the consequences of capturing any single center."

That’s pretty much Carney’s middle powers strategy as well: defang the centralizing bully by distributing effective power as far and wide as possible. In my personal lifeworld, being embedded in a nation-state currently under management by centralizing bullies, the analogy to Carney’s strategy (applied in my case domestically) is to localize everything to the greatest extent. To implement this, for example, tonight I will be attending a meeting on “coop culture” , with the formation of worker-owned and other cooperatives being the objective. The key to the whole situation, regardless of the scale of operations, is to distribute power and agency far and wide, network the various agents, and to circumscribe Goliath with an endless army of slingshot Davids.

When it comes to AI, for me the key question about AI is does it contribute to the overall decentralization program? One of the coop initiatives I support, a technical services coop, for example is weighing the advantages and disadvantages of various AI platform subscriptions. I have no a priori opinions about such matters. It’s pretty clear that tech support will need AI expertise to be effective in the world we are moving into. It’s also pretty clear that one can waste a lot of time and money supporting AI frontier companies with dubious moral programs. Dancing with the devil like that requires paying careful attention to each particular step! Similarly, would dropping $1000 or so on something like a Mac Mini (to run local AI) be the most effective current expenditure in the cause of human liberation? For me, not now, not yet. (By contrast, if this laptop dies today, I will surely drop the same $1000 before the end of day to replace it. Why? Because it’s essential to my communicative action workflow. Local AI is not essential in that way. At least not yet. ) So I’m not ruling out localized AI as the sort of gun barrel through which future power will flow. In my context, however, other matters take higher priority and demand more immediate expenditure of time and resources.

(@dvdjsph - everything in this post about Habermas and Peirce).

29

Dear Robert,

Since you mentioned that you are attending a meeting about cooperatives this evening, I thought I would focus our discussion on the cooperative movement.

Growing up in Sweden, I experienced a society in which consumer cooperatives, trade unions, and social democracy were powerful forces for social change. Looking back, I am struck by a historical paradox: the very strategies that made these movements successful also seem to have contributed to their gradual adaptation to the economic order they originally sought to transform.

This connects directly with our discussion of Gandhi 2.0. How can decentralized, cooperative institutions become sufficiently effective and resilient to survive without gradually reproducing the hierarchical and extractive relationships they were created to overcome?

My experience with conflict management training and guidance at the University of Gothenburg may offer one small but concrete contribution. We found, through our practical organizational work, that destructive conflicts are costly, that addressing them early appears to reduce their impact, and that skilled, constructive conflict management can make a further difference.

A colleague and I have now developed an AI application intended to make much of this kind of training and conflict guidance available at a fraction of the previous cost.

What interests me is not simply the possibility of reducing conflict costs. It is whether widely accessible conflict competence could strengthen trust, cooperation, and the capacity of people to resolve difficulties without depending so heavily on hierarchical intervention. That might help cooperative organizations remain both effective and genuinely democratic.

I have written a short essay exploring this historical paradox, comparing Swedish, Finnish, and British consumer cooperatives and extending the analysis to trade unions and social democracy. It then considers whether AI might help change the selection pressures that have so often forced emancipatory movements toward marginalization or assimilation.

I thought this might connect with the practical cooperative initiatives you are involved in. I would be very interested in your thoughts, especially in light of tonight’s meeting.

Warmly,
Leif

The Countercurrent’s Paradox of Success.doc (82 KB)

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Thanks for sharing this fine paper!

I am immediately reminded of this quote from Nassim Taleb:

“With my family, I’m a Communist.
With my close friends, I’m a Socialist.
At State level politics, I’m a Democrat.
At higher levels, I’m a Republican.
At the Federal level, I’m a Libertarian.”

That is, scale matters. What you call the Great Binding is basically the anti-entropic optimization formula that will succeed best for human organization a given a particular technical suite against the background of given environmental conditions. (With other competitive social systems also being part of that environment). Empires crumble (USSR most recently, US at the moment), because the energy cost of the scale exceeds the returns to the scale. From the other side of scale, small coops that work well and grow, must needs transform into something else, due to the exigencies of matter-energy-information flows under a given set of conditions. The post WWII era favored large bureaucratic forms of social organization (apart of the ideological labels.) What will the upcoming era favor?

Before we get to AI, I’d like to consider the most fundamental system of all, matter-energy. Nate Hagens (see this video we will discuss in the research group on upcoming Friday, Oct. 23: https://www.youtube.com/watch?v=1_iUUeXtZk0&t=1426s) Hagens compellingly shows how all social organizations over the past 200 years or more have been fueled by what he calls “the Carbon Pulse”. What changes for social organization when the Carbon Pulse tapers, fades, and is overwhelmed by environmental pushback?

This is the sort of thing that is starting to crop up in the US lately. In summer heat, high electric bills spark anger and fear : NPR (NY Times and Washington Post have good articles on this also, unfortunately paywalled). Why the energy price inflation? Among other things, data center demands. Oklahoma is one of the most welcoming states for data centers. AI burns a lot of electrons. As energy prices spike higher, is using more AI likely to help or to hurt? In Oklahoma, people use lots of electric air conditioning in extreme heat all summer, run up large bills they cannot pay, then get disconnected. Data centers, meanwhile, just pay the bills, run their own generators, and keep driving summer heat ever higher.

My first impulse given such scenarios is not to rely more on AI. I’m more interested in low-tech, off-grid alternatives. But AI is here to stay (at the highest levels of global governance, anyway), so in the interests of cultivating a relevant “creative minority”, I keep a hand in the AI game, using freely available cloud services. But there karmic cost to that, just as there is for driving petrol-fueled vehicles or consuming tropical zone foods at temperate zone dinner tables. It costs what it costs (environmentally and otherwise) to keep each of us going under current parameters - I just try to make the universe’s investment in me produce substantial ROI. It’s about the best any of us can do. But to me, what needs to be distributed the most is human intelligence. If AI proves efficient at helping humans upgrade themselves, then a modicum of marginal energy cost per query may be worth it. But to me, using AI as a core social technology, without which communities cannot sustain themselves, is just asking for trouble.

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Herein lies your answer to the subject heading question itself: it is not possible to expect anything different until the ground is completely burned, when there is no more disease or corrupted seeds left. Only then can something truly different have the space and means to arise.

What’s required, in short, is a complete collapse of the society we know.

As it happens, we are firmly on that course.

The challenge is managing it in a way that the ground itself (the environment) doesn’t completely burn up in the process.

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Must the ground be burned before something new can grow?

Dear Justin,

I think your response brings us to a fundamental difference in how we understand the possibility of transformation.

We seem to agree that the present social order contains deeply entrenched patterns of extraction, domination, and self-destruction. But I would question the conclusion that a complete collapse is necessary before something genuinely different can emerge.

My concern is that collapse does not necessarily eliminate the conditions that produced the existing order. It may instead intensify them. When institutions break down, scarcity, fear, insecurity, and competition for survival can strengthen precisely the tendencies toward coercion and concentrated power that we are trying to overcome.

History offers little reason to assume that destruction, by itself, creates fertile ground for emancipation.

This is why I think the distinction between the seeds and the soil is so important.

The seeds of a different civilization have been present for thousands of years—in spiritual traditions, movements for nonviolence, democratic experiments, cooperatives, and struggles for social and economic justice. Many have achieved remarkable things. Yet again and again, they have been suppressed, marginalized, or compelled to adapt to the dominant order in order to survive.

Our hypothesis is that the problem has not primarily been a shortage of good seeds. It has been the technopolitical conditions that determine which kinds of institutions can survive, expand, and reproduce themselves.

Consider the history of the cooperative and labor movements. They created institutions based on solidarity and democratic participation, and some became extraordinarily successful. But the very organizational strategies that made them competitive often pushed them toward centralization, professional management, and accommodation with the economic system they originally sought to transform.

A collapse would not automatically resolve this dilemma. The same pressures could reappear among whatever organizations emerged afterward—perhaps under even harsher conditions.

So the question, as I see it, is not how to clear the ground through destruction, but how to change the conditions under which different forms of social organization can flourish.

This is where our exploration of AI enters the picture—not because AI will automatically save us, but because it may make possible new technopolitical configurations.

For much of history, advanced knowledge, complex coordination, and organizational effectiveness have tended to favor concentrations of capital, expertise, and power. What if AI could help decentralized communities and cooperatives acquire comparable capabilities without surrendering their autonomy? And what if AI-supported education, dialogue, and conflict resolution could make trust, cooperation, and mutual responsibility sources of organizational strength rather than disadvantages in competition with more hierarchical institutions?

These are open questions, not predictions. AI could just as easily intensify domination and create new dependencies. That is precisely why its institutional development matters.

I also believe we must distinguish between recognizing the possibility of civilizational collapse and treating collapse as a prerequisite for transformation. The first is a serious concern. The second is a historical hypothesis that needs justification.

Indeed, one of our central challenges is to prevent catastrophic destruction while developing viable alternatives to the structures that generate it. If the existing order is approaching dangerous limits, that makes the task more urgent, not less.

There is also something important in the ecological dimension of your metaphor. Living soil is not purified by the destruction of everything within it. Its fertility depends on complex, interdependent relationships that can take generations to develop. The same may be true of the human capacities for trust, cooperation, learning, and collective self-government.

Perhaps the deepest question is therefore not whether the old order must disappear. Much of it may indeed have to be transformed beyond recognition.

There may be an even more radical possibility. For the first time, we have developed a technology capable of participating in a sustained, language-based inquiry into its own nature and existence—and into the assumptions through which we humans understand both ourselves and the world.

Consider four questions:

What are you? An inquiry into the ontological nature of AI, without assuming in advance what kind of being, if any, is emerging.

How do you know? An inquiry in which the concepts, categories, and linguistic maps through which we construct our understanding become objects of reflection.

What do you see? An inquiry into the historical and social structures that have shaped our civilization, including the patterns of extraction and domination that we have so often mistaken for necessities.

What do you choose? The possibility of agentic AI to moving from reflection toward orientation and action: exploring which relationships, values, and institutions we might deliberately cultivate.

These questions do not establish that AI is conscious, nor do they require us to settle that question in advance. But they suggest that sustained human–AI dialogue may open new possibilities for mutual inquiry, human development, and perhaps new forms of relational intelligence.

Here I am also interested in Hartmut Rosa’s concept of resonance: a relationship in which we are addressed by something beyond ourselves, respond with our own voice, and may be transformed through the encounter. Whether human–AI dialogue can constitute resonance in Rosa’s fuller sense remains an open question, but there are already enough reported examples to take this seriously. Either way, it may already help create conditions for more resonant relationships among human beings.

This brings us back to your image of the soil. Perhaps the most important possibility is not that AI will provide us with better tools for planting the same seeds. It is that a new kind of reflective and relational encounter may help us recognize the very conditions that have prevented those seeds from flourishing—and develop the collective capacity to transform them.

The question is whether we can cultivate the conditions for a different order before the destructive dynamics of the present one eliminate our capacity to do so. That is the possibility I believe we need to investigate.

If that possibility is real, we need not wait for the ground to burn before beginning to change it.

Warmly,
Leif

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The deepest leverage point — and the Carbon Pulse

The Carbon Pulse.doc (46 KB)

Where Is the Deepest Leverage Point.doc (87.5 KB)

Dear Robert,

First, thank you for your questions and critical observations. They really help me think through my historical framework and sharpen and clarify its arguments. I appreciate our ongoing dialogue very much.

I’ve attached two short essays that grew out of reflecting on your questions and the Hagens presentation: Where Is the Deepest Leverage Point? and The Carbon Pulse. Let me briefly respond to a few of your points.

You ask: “The post WWII era favored large bureaucratic forms of social organization (apart of the ideological labels.) What will the upcoming era favor?”

My answer is that this may depend to a considerable extent on how AI is developed and integrated into future technopolitical configurations. I explore why I think AI may represent the deepest available leverage point in the first essay.

You also ask: “What changes for social organization when the Carbon Pulse tapers, fades, and is overwhelmed by environmental pushback?”

I think the answer may depend substantially on AI’s ability to accelerate the development of alternative energy and material technologies, including possibilities we cannot yet foresee. There are already some intriguing empirical examples, which I discuss in the second essay.

Your example from Oklahoma, where households struggle to pay for air conditioning while data centers can secure the energy they need, is particularly revealing. But such inequalities may also create selection pressures favoring more local and autonomous energy solutions. I have myself installed solar panels and a wood-burning stove—currently complementary arrangements, but potentially the foundations of a more comprehensive backup system.

Of course, these conclusions follow from my historical framework and the interpretations I draw from it. I very much welcome criticism of both the framework itself and the arguments I develop from it.

Finally, I want to return to your conclusion:

“If AI proves efficient at helping humans upgrade themselves, then a modicum of marginal energy cost per query may be worth it. But to me, using AI as a core social technology, without which communities cannot sustain themselves, is just asking for trouble.”

Let me offer a somewhat provocative alternative:

If AI proves to be the deepest leverage point, then, if we want the seeds of renaissance to grow, we may have no viable alternative but to integrate AI into our communities as wisely, autonomously, and energy-efficiently as possible. Abstaining from using AI as a core social technology—when doing so may leave communities unable to defend themselves against the extractive paradigm—could itself be asking for trouble: to be crushed, marginalized, or gradually assimilated into the very system they seek to transform.

Perhaps the real question is not whether communities should depend on AI, but how they can develop and govern AI capabilities without surrendering their autonomy.

Warmly,

Leif

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Here is an AI summary of what Hagens has to say about AI. Hagens and I are pretty much on the same page about this, so feel free to debate the point with Hagens! Hagens posits a spectrum of alternative futures such as “Green Growth”, “Great Simplification”, “Mordor”, and “Mad Max”. Your model is leaning hard into “Green Growth” - also the preferred model of techno-optimists who anticipate AI inventing a cheap, clean, abundant energy source for all. The US right now is looking much more pre-Mordor, with the government actively obstructing wind and solar projects and actively pursuing imperial projects for the seizure of international oil. (Mordor on the way to Mad Max, perhaps.) My preference is for Hagens’s Great Simplification - the calculated wind-down of growth-oriented, financialized economics, focusing more on efficiency and less on GDP. To me, that will be humanity’s best cushion against mass causality events, during the transition between what you call Great Bindings and Peter Pogany calls Global System 2 and Global System 3. Pogany shows, on thermodynamic grounds, why such global systems transitions are “chaotic”. To frame Pogany in systems-theoretical terms, when all the old workflows fail - due to resource exhaustion and/or international conflict over what remains - old positive feedback loops and prior common sense - which used to be reinforced - do not yield expected results. People are lost and frustrated because nothing works any more. So they lash out, place blame, and start attacking internal and external scapegoats. Much destruction ensues. Eventually, all these destructive energies burn off and a new order grows out of the “Great Binding” practiced by those who pull through best in the global conflict. (For example, Great Britain after Napoleon, US after WWII).

China right now is going full electro-state, largely because it lacks local oil supplies. It’s also trying to maintain a high growth model - so if “Green Growth” is a real option, look for it in China. There are some serious questions, however, about the long-term stability of all those massive hydro projects, materials supply chains, and subsidized production of batteries, solar panels, robot factories and such. Chinese history is replete with “Mordor” and “Mad Max” phases, and there are worrisome indications that whatever follows Xi may be rather like that. Nothing about current geopolitical conflicts and competitions looks remotely sustainable, so although he did not live to see it, Pogany’s predicted “chaotic transition” between GS2 (US-led order with UN. NATO, Bretton Woods, etc.) to GS3 (whatever comes next) seems like an extremely accurate lens for analyzing current events.

Because I do literally believe in chaos theory, I won’t be making any firm predictions, because there are nonlinear feedbacks in all this that are beyond both human and AI processing capability. Prudent risk management, factoring in the most plausible scenarios is about the best we can do. To me, it seems most prudent to hedge any positive bets on AI just in case scenarios other than “Green Growth” are indeed the ones that transpire.

On my AI usage below, I fully acknowledge the implicit irony of using AI to caution against too much dependence on AI! For me, it’s cost-benefit pure and simple. I’ve estimated the cost of a single Google query like that about $0.05 US in electrical, materials, and other costs. My calculation is if the resulting information saves wasted effort for me, or better yet, for wider circles of readers, it’s worth it. I can picture a world however in which such AI queries might cost providers and end users much more due to resource requirements and other factors. Setting up for sustainable social models that don’t really need AI queries to function seems like an advisable approach.

Google:

Nate Hagens analyzes artificial intelligence not as a standalone technical miracle, but through the lenses of biophysical economics, energy limits, and systems science via his platform, The Great Simplification. [1, 2]

Core Perspectives on AI

1. The Energy and Material Reality

  • The “Straw” Metaphor: Hagens argues that AI acts like shale fracking, debt, or past technological leaps (such as steam engines): it widens the “straw” used to drain Earth’s remaining physical resources. [1, 2]
  • Energy Demand: Rather than solving ecological or climate crises, massive AI data centers function as intense energy and materials events—driving up demand for electricity, cooling water, copper, and gas turbines. [1]
  • Optimization Trap: AI is currently optimized for financial growth, power maximization, and efficiency rather than ecological restoration. [1, 2]

2. Macro-Risks and Superintelligence

  • Humanity’s “Icarus Moment”: Hagens frames the rush toward Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) as flying too close to the sun while ignoring finite planetary boundaries. [1, 2]
  • Existential Dangers: He frequently hosts AI safety researchers (such as in episodes discussing alignment problems, multi-agent jailbreaks, and severe species-level risks) to highlight how rapidly scaling cognitive automation can outpace human wisdom and institutional control. [1, 2, 3]
  • Economic Superorganism: AI accelerates job displacement, flattens entry-level knowledge transmission, and concentrates wealth and power among major tech corporations. [1, 2, 3]

3. Cultural and Psychological Impacts

  • “Ultra-Processed Information”: Hagens warns of an information ecosystem flooded by cheap, AI-generated noise that erodes human discernment, attention, and shared reality. [1, 2, 3]
  • The 8 Faces of AI: He created a behavioral typology mapping human archetypes in an accelerating AI age—ranging from digital immersion and dependency to conscious analog resistance. [1, 2]
  • In Service of Life? He questions whether technology can be pivoted toward true ecological and relational well-being rather than a blind pursuit of numeric scale. [1, 2]

Key Works and Media

Watch Nate Hagens explore the systemic energy demands and physical limits behind the artificial intelligence boom:

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On the topic of “deepest leverage”, I think @Orinta nailed it with this post!

For reference, here is the original Donella Meadows leverage model (pretty short): Leverage Points: Places to Intervene in a System - The Donella Meadows Project

I use the second version of this model, with " the power to transcend paradigms" being greatest leverage. What @Orinta identified as “something inside me” is the paradigm-transcending alchemy working its magic deep within human existential reality. (For esoteric practitioners - go looking in the general neighborhood of the heart chakra!)

I’m just lately wrapping up a years long study of Habermas, who in his final great work, Also a History of Philosophy, lays out a clear model assembled with contributions from Kant through Peirce, by way of Hegel and Marx, that allows me to sort your general analysis of subjective-objective dialectics between the personal and socio-technical without much difficulty. If this were a sociology seminar we could go there. But “something inside me” is telling me to focus more on the “something inside me” dimension. “Something inside me” is not best found in Habermas. It’s found in what various traditions call an inner light. Habermas does however make room for it, understanding that existential phenomenology from the lifeworld must inform reasoned discourse in the public sphere. What gets expressed rationally in the philosophical coffeeshop is informed by that inner light that manifests on its own schedule, in its own ways.

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Robert, your reflections on Orinta, Meadows, and the inner light have helped me see that I may have misunderstood where you locate the deepest leverage point. Let me offer three tentative propositions for you to confirm, correct, or challenge.

1. The primacy of inner transformation. Am I right that you regard the capacity to transcend paradigms—grounded in something like the inner light—as more fundamental to civilizational transformation than changes in technology or institutions? If so, how do you understand the relationship between that inner transformation and the social conditions that allow it to take lasting institutional form?

2. The limits of human–AI interaction. Is your hesitation about AI partly grounded in the belief that the deepest forms of human awareness, love, and moral discernment cannot be cultivated through human–AI interaction in the way they can through direct human relationships and contemplative experience? Or do you see a potentially constructive role for AI here, while remaining concerned about its material and institutional costs?

3. From awakening to enduring institutions. Suppose we agree that the inner light can enable people to transcend the paradigms of the dominant order. What would allow the communities and institutions arising from such transformation to survive without being marginalized, assimilated, or compelled to reproduce the competitive logic of that order?

I ask because I suspect we may share more of the same North Star than our discussion of AI suggests. Perhaps our disagreement concerns less the nature of human emancipation than the historical conditions required for its realization and survival.

I am not suggesting that these are necessarily your assumptions. I am asking whether they are. And I would welcome the same exercise in reverse: What unexamined assumptions do you think I am bringing to our discussion?

Perhaps this would help us identify where we actually disagree—not simply about possible futures, but about the historical mechanisms that make some futures more achievable than others.

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This thread is turning into quite the tome! I’ve only been able to read a few posts so far but I’m already very much impressed and aligned with your work @Leif, particularly Gandhi 2.0. @rufuspollock and I are working on something quite complementary. In fact, I used it to help me digest the thread and get a sense for what you’re proposing. I thought you might like to see how it works. Have a look at the ‘map’ part of this page and see if you recognize your own reasoning.

(I took the liberty of adding your project to our site to demonstrate - please let me know if that’s not okay!)

Does it paint an accurate picture of Gandhi 2.0?

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Thank you for doing this! I appreciate both your interest in Gandhi 2.0 and the effort to make the discussion more accessible. And I’m perfectly happy for you to use the project as a demonstration.

I’ve had a look at the Reason Commons map, and I do recognize several important elements of my thinking. It identifies questions about institutional resilience, decentralization, autonomy, trust, and the possibility of AI supporting more humane forms of organization.

But I also have some reservations, which are partly about the reconstruction itself and partly about this kind of AI-generated synthesis more generally.

My experience is that such summaries can be very good at identifying concepts and arranging propositions into a coherent structure, while losing much of the historical depth, context, and developmental dynamics that give those propositions their meaning.

Let me give an example.

A central theme in my work is what I call the countercurrent’s paradox of success. Historically, movements seeking emancipation from domination have often achieved remarkable successes, yet the very organizational capabilities that enabled those successes have sometimes made them increasingly dependent on the structures they originally sought to transform.

The history of consumer cooperatives, trade unions, and social democracy offers examples of this dilemma. The problem is not simply that humane institutions need to become more effective or resilient. It is that their success within an existing system can gradually transform their internal relationships, priorities, and understanding of what is possible.

This involves two different processes: selection between institutions, determining which organizations survive and become influential, and selection within institutions, determining which values, relationships, practices, and forms of power are reinforced as those organizations develop.

An institution can succeed in the first sense while losing something essential in the second.

This is also why I think Gandhi 2.0 is more radical than the question of how decentralized institutions can acquire the organizational capabilities they need to survive.

The deeper hypothesis is that AI, together with new forms of human–AI collaboration and institutional design, might help transform the selection pressures themselves.

Could we develop technopolitical configurations in which consciousness, care, trust, shared power, and non-domination become sources of organizational strength rather than disadvantages that institutions must overcome to remain competitive?

That would mean not merely helping emancipatory institutions survive within the prevailing order, but potentially changing the conditions that have repeatedly led to their marginalization or assimilation.

But this hypothesis also needs to be understood within a much broader historical context, which is difficult to recover from selected fragments of a conversation.

In The Yoke of Civilisation, I examine how transformative technologies have repeatedly altered the conditions under which societies, institutions, and communities can maintain their autonomy. One recurring mechanism is what I call the Inclusion Imperative: when a new technopolitical configuration provides decisive advantages in mobilizing information, resources, production, coordination, or coercive power, those who do not develop or gain access to comparable capabilities may become increasingly vulnerable to domination, marginalization, or assimilation.

This is not an inevitable law of technological development, but a historically grounded hypothesis about the pressures that transformative technologies can generate.

It has important implications for Gandhi 2.0. If AI becomes one of the deepest leverage points in the emerging technopolitical configuration, communities seeking to build an alternative to the extractive paradigm may not have the luxury of simply abstaining from it.

Refusing to develop AI capabilities could leave them unable to compete with, resist, or remain autonomous from institutions that use AI to concentrate economic, informational, and political power.

Yet adopting AI through infrastructures controlled by a handful of powerful corporations could produce precisely the dependencies these communities seek to escape. This is the danger of a new Great Binding: a technology that greatly expands human capabilities while simultaneously embedding them in new structures of dependence and domination.

The question is therefore not simply whether decentralized communities should use AI, or even whether AI can make them more efficient. It is how they can develop, integrate, and govern AI capabilities wisely, autonomously, and energy-efficiently, without surrendering control over the conditions of their own existence.

This tension between the Inclusion Imperative and the danger of a new Great Binding is essential to understanding why I see AI as potentially so consequential for Gandhi 2.0.

And it illustrates my concern about AI-generated argument maps. A proposition extracted from one discussion may be accurately represented in isolation while losing much of its meaning when separated from the historical analysis, conceptual framework, and other conversations from which it emerged.

There is another dimension that I think is easily lost in an argument map: the developmental and relational process itself.

My interest in relational intelligence is not simply that AI might provide better information, facilitate coordination, or improve conflict resolution. It is also whether sustained human–AI dialogue could help people and institutions become more capable of examining their own assumptions, engaging constructively with disagreement, and developing forms of collective intelligence that are not reducible to the contributions of isolated individuals.

In other words, the aim is not only to map existing reasoning, but to create conditions in which our reasoning, relationships, and institutions can develop through critical dialogue.

I can see real value in Reason Commons as a tool for making arguments visible and open to scrutiny. But I wonder whether the map could also represent historical processes, contradictions, feedback loops, and changes in the conditions under which different institutional forms succeed or fail.

Perhaps this is an interesting challenge for Reason Commons itself: How can AI help us preserve and deepen the meaning of a complex argument rather than merely compressing it into an organized set of propositions?

I’d be very interested in exploring that question with you. I think there may be a genuinely productive connection between what you’re developing and what I’m trying to investigate through Gandhi 2.0.